dipy_track_pft#
Usage#
- dipy_track_pft [-h] [–step_size float] [–seed_density int] [–pmf_threshold float] [–max_angle float] [–pft_back float] [–pft_front float] [–pft_count int]
[–out_dir str] [–out_tractogram str] [–save_seeds] [–min_wm_pve_before_stopping int] pam_files wm_files gm_files csf_files seeding_files
Workflow for Particle Filtering Tracking.
This workflow use a saved peaks and metrics (PAM) file as input.
Positional Arguments#
pam_files Path to the peaks and metrics files. This path may contain wildcards to use multiple masks at once. wm_files Path to white matter partial volume estimate for tracking (CMC). gm_files Path to grey matter partial volume estimate for tracking (CMC). csf_files Path to cerebrospinal fluid partial volume estimate for tracking (CMC). seeding_files A binary image showing where we need to seed for tracking.
- options:
- -h, --help
show this help message and exit
- --step_size float
Step size (in mm) used for tracking.
- --seed_density int
Number of seeds per dimension inside voxel. For example, seed_density of 2 means 8 regularly distributed points in the voxel. And seed density of 1 means 1 point at the center of the voxel.
- --pmf_threshold float
Threshold for ODF functions.
- --max_angle float
Maximum angle between streamline segments (range [0, 90]).
- --pft_back float
Distance in mm to back track before starting the particle filtering tractography. The total particle filtering tractography distance is equal to back_tracking_dist + front_tracking_dist.
- --pft_front float
Distance in mm to run the particle filtering tractography after the the back track distance. The total particle filtering tractography distance is equal to back_tracking_dist + front_tracking_dist.
- --pft_count int
Number of particles to use in the particle filter.
- --save_seeds
If true, save the seeds associated to their streamline in the ‘data_per_streamline’ Tractogram dictionary using ‘seeds’ as the key.
- --min_wm_pve_before_stopping int
Minimum white matter pve (1 - stopping_criterion.include_map - stopping_criterion.exclude_map) to reach before allowing the tractography to stop.
Output Arguments(Optional)#
- --out_dir str
Output directory. (default current directory)
- --out_tractogram str
Name of the tractogram file to be saved.
References#
Girard, G., Whittingstall, K., Deriche, R., & Descoteaux, M. Towardsquantitative connectivity analysis: reducing tractography biases.NeuroImage, 98, 266-278, 2014. Garyfallidis, E., M. Brett, B. Amirbekian, A. Rokem, S. Van Der Walt, M. Descoteaux, and I. Nimmo-Smith. Dipy, a library for the analysis of diffusion MRI data. Frontiers in Neuroinformatics, 1-18, 2014.